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Learning topology of a labeled data set with the supervised generative gaussian graph.

, , and . ESANN, page 235-240. (2007)

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Model selection for Gaussian latent block clustering with the integrated classification likelihood., , and . Adv. Data Anal. Classif., 12 (3): 489-508 (2018)Un modèle génératif pour l'Apprentissage de la Topologie., , and . AAFD, volume A-3 of RNTI, page 49-76. Cépaduès-Éditions, (2008)An Approximation of the Integrated Classification Likelihood for the Latent Block Model., , and . ICDM Workshops, page 147-153. IEEE Computer Society, (2012)Block clustering with Bernoulli mixture models: Comparison of different approaches., and . Comput. Stat. Data Anal., 52 (6): 3233-3245 (2008)Parameter Setting for Evolutionary Latent Class Clustering., , , , and . ISICA, volume 4683 of Lecture Notes in Computer Science, page 472-484. Springer, (2007)Spatial Clustering Techniques: An Experimental Comparison., and . COMPSTAT, page 251-256. Springer, (1998)A generative model that learns Betti numbers from a data set., , and . ESANN, (2012)Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models, , and . Computational Statistics & Data Analysis, 41 (3-4): 561--575 (Jan 28, 2003)Parameters Estimation of Block Mixture Models., and . COMPSTAT, page 491-496. Springer, (2002)Commentaires sur l'article de G. CELEUX et de C. ROBERT.. Monde des Util. Anal. Données, (1993)